• DocumentCode
    1844022
  • Title

    A synergyc view of L-band active and passive remote sensing of vegetated soil

  • Author

    Guerriero, Leila ; Ferrazzoli, Paolo ; Rahmoune, Rachid

  • Author_Institution
    Dept. of Comput. Sci., Syst., & Production, Tor Vergata Univ., Rome, Italy
  • fYear
    2012
  • fDate
    5-9 March 2012
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    This paper investigates the effects produced by variations of soil moisture and vegetation biomass on the emissivity e and the backscattering coefficient σ° of land surfaces. Several previous works demonstrated that an increase of soil moisture is associated to a decrease of e and a corresponding increase of σ°. Other surface variables, such as soil roughness and vegetation biomass also influence both e and σ°, but in a different way with respect to soil moisture. In a previous paper, it was assumed that an ideal triangle can be traced on the e-σ° plane, with vertexes corresponding to dry soil, wet soil and dense vegetation conditions, respectively. In this paper, this assumption is tested using passive and active signatures collected by SMOS and ALOS-PALSAR instruments, respectively, over various kinds of surfaces.
  • Keywords
    geophysical techniques; remote sensing by radar; soil; synthetic aperture radar; vegetation; ALOS-PALSAR; L-band; SMOS; backscattering coefficient; dense vegetation condition; dry soil; emissivity coefficient; land surface emission; remote sensing; soil moisture; soil roughness; synergyc view; vegetated soil; vegetation biomass; wet soil; Africa; Vegetation mapping; Backscattering coefficient; emissivity; soil moisture; vegetation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Radiometry and Remote Sensing of the Environment (MicroRad), 2012 12th Specialist Meeting on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4673-1468-8
  • Type

    conf

  • DOI
    10.1109/MicroRad.2012.6185238
  • Filename
    6185238